09:00 Welcome Speech & Opening Remarks by Forum Producer

Case Study – Applying Deep Learning & Immersive Reality In Pipeline/Site Inspection & Maintenance In Sydney Water

  • Use of VR & AI to provide immersive site experience
  • Sydney Using Gamification to explore hazards
  • Complete site induction onsite/offsite
  • Digitization of site induction recording
  • Increasing inspection time efficiency
 dammika-photo-112x128 Dammika
Asset Infrastructure Research Lead, Corporate Strategy
Sydney Water

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09:40 Case Study – AI And Drones, Automating Building Inspections

10:10 Morning Refreshments & Networking Session
Leveraging The Power Of AI And Big Data Analytics To Predict Equipment Failure
10:30 How Digital Maintenance Helped BHP To Standardize Tasks And Reduced The Average Truck Downtime For A Regular Service From Two Hours To Just 40 Minutes
 Ali-Izadi-112x128 Ali Izadi
Maintenance Superintendent A&I
BHP logo
Understanding The Costs And ROI Of Predictive Maintenance Programs
11:15 Predictive Maintenance: Data-Driven Techniques To Improve Prediction Of Pipe Failures For Water Utilities
Professor Chen will talk about how to create the most accurate prediction method in the world for urban water infrastructure pipe failure prediction. The method has been validated worldwide through datasets coming from more than 30 utilities, including many key utilities in Australia, and others in UK, Netherlands and Hong Kong. Based on new algorithms Prof Chen and the team created, the analysis on more than 10 million assets and more than 1 million failure records cross the global utilities proved more than double of discovery rate on failures than industry standard methods. She will also talk about other data driven predictions in water sector.
 Fang-Chen-gray-112x128 Dr. Fang Chen
Executive Director Data Science
University of Technology Sydney (UTS)

12:00 Networking Luncheon
13:15 Robots For Maintenance: The Use Of Intelligent Robots For Civil Infrastructure Maintenance, Inspection And Painting
Infrastructure in transport (e.g. bridges and tunnels), energy (e.g. transmission towers, offshore structures) and water (e.g. pipelines and dams) is important to economy and community in every country, but it is progressively deteriorating due to ageing, environmental changes and loading. Lack of or inappropriate maintenance poses very serious risks. Infrastructure robotics research has made significant progress. A number of autonomous and intelligent robots have been developed and deployed for maintaining infrastructures such as the Sydney Harbour Bridge. Examples of such robots include autonomous grit-blasting robot for steel bridge maintenance, bio-inspired climbing robot for confined space inspection and autonomous underwater robot for underwater structure cleaning and condition assessment. This robotic technology can significantly reduce the risks involved in as bridge inspections and improve the overall health and safety of workers.
  Dr Andrew To
Research and Development Engineer, Centre for Autonomous Systems (CAS)
University of Technology Sydney

13:50 Downer Turns Predictive Maintenance Into A Reality
The programs predicts the need for maintenance before a failure manifest as a problem that affects service.
 Saad-Khan-Photo-112x128 Saad Khan
General Manager Capability & Asset Management
Downer Defence Systems
 Downer Logo
14:20 Safer Rail Operations: Reactive To Proactive Maintenance Using State-Of-The-Art Automated In-Service Vehicle-Track Condition Monitoring
 Ravi-Ravitharan-112x128 Ravi Ravitharan
Director, Institute of Railway Technology (IRT)
Monash University
 IRT Logo
15:00 Afternoon Refreshment & Networking
Optimizing MRO With Machine Learning And AI
15:30 Digital Facility Management: Building Performance Optimization
  Dominik Holzer
Associate Professor in Digital Architecture, Melbourne School of Design
University of Melbourne
16:10 Early Fault Detection Prevents Powerline Faults And Fires
  Dr Alan Wong
Founder and CEO
IND Technology

17:00 Closing Remarks by Forum Chairperson
 Andrew-Sarah-112x128 Andrew Sarah
Senior Project Manager, Nomad Digital
Committee Member Melbourne Chapter, Asset Management Council
17:05 Champagne Networking Session
After a long day of learning, benchmarking, and planning, unwind and mingle with your peers.


Using Autonomous Drones For Field Service Inspection & Maintenance
09:00 Welcome Speech & Opening Remarks by Forum Producer
09:15 Drone Data: 3D Reality Models For Virtual Site Visits And Optimising Field Service Inspections
 Andrew-Chapman-112x128 Andrew Chapman
CTO and NSW Operations Manager
Australian AUAV  
AUAV logo
How Predictive Maintenance Can Reduce Maintenance Costs And Increase Asset Lifespan
09:45 How Does Digitalisation Help Maintain Asset Value?
 Greg-William-112x128 Greg William
Director Engineering & Asset Management
Yarra Trams
 Yarra Trams
10:15 Morning Refreshments & Networking Session
Root Cause Analysis Of Equipment Breakdowns With Analytics
10:30 Leveraging Big Data Analytics To Determine Root Cause Analysis Of Equipment Breakdowns
Root cause analysis (RCA) is an essential step in the Predictive Maintenance journey. Thanks to significant advances in machine learning and Big Data analytics, root cause analysis can be performed using automated methods. These methods are unbiased and based purely upon historic and real-time data from the production floor.
 Manohar-Esarapu-112x128 Manohar Esarapu
Head of Data and Information
City of Port Philip
From Predictive To Prescriptive Maintenance
11:10 Case Study: The Application Of AI In Condition Based Maintenance For Gas Metering And Thermal Application
11:40 Case Study – AI For Utilities Asset Inspection And Network Mapping
12:10 Networking Luncheon
Augmented And Virtual Reality For Field Safety Training In Dangerous Environments
13:15 Using AR/VR At Melbourne Water To Train Maintenance Engineers
Melbourne Water uses VR and augmented-reality (AR) for training. The company sees the new technology as ideal supplements to existing training, particularly in applications where real-world resources either are difficult to access or not always required. Examples include refresher training and laying the foundation for new processes that can then be honed on actual engines. The VR interface gives maintenance engineers a real-world experience at a fraction of the cost.
  Gavin Kenny
Manager SHEQ – Service Delivery
Melbourne Water
Interactive Roundtable Discussion
13:50 Roundtable Discussions
Table 1: Maturity assessment to improve the equipment reliability in mine sites
  Dr Ali Soofastaei
AI Expert, Artificial Intelligence Center
Table 2: Designing AR And VR Experiences For Maintenance And Operations Training
  Ben Horan
Director, CADET Virtual Reality Laboratory
Deakin University
Table 3: Use Of Drones For Asset Inspection
James Rennie
Co-Director & CEO

AUAV logo
15:15 Afternoon Refreshment & Networking Session
15:30 Automation Roadmap Into The Future For Construction
  Nathan Kirchner
Head of Robotics| Ventrures Advisor – Engineering Excellence Group
Laing O’Rourke
16:00 The Use Of AI To Reduce Maintenance Costs
Predictive maintenance analytics using machine learning models can then identify the correlation between the amount of money spent on maintenance. This led to less downtime and millions of dollars saving from maintenance expenses as well as operational disruptions, as well as positive impact on environmental factors by reducing pollution and waste material generation.
  Dr Ali Soofastaei
AI Expert, Artificial Intelligence Center
16:30 Closing Remark by Forum Chairperson



09:00 – 12:00 Site Visit A

Drones For Field Service Inspection.

Assets and infrastructure in hard-to-reach locations, or over large areas, are costly, difficult and often dangerous to inspect regularly. In recent years, robotics have begun to offer a better way to conduct these inspections and ensure early detection of faults and damage that may cause service interruptions or risk. Unmanned aerial vehicles (UAVs) in particular have been demonstrated to halve inspection costs in some cases, while cutting weeks-long inspections to mere days – and even allowing some assets to avoid shutdowns and disruption while under inspection. Get an up-close look at how forward-looking companies maximize the potential of drones for maintenance inspections with 3D modelling for internal and external inspections.


13:00 – 16:00

Site Visit B

Swinburne University of Technology – Factories of the Future

Factory of the future is a new platform for businesses, on a digital transformation journey, to experience and road-test advanced manufacturing technologies and new business strategies in collaboration with Swinburne. It enables businesses to redefine value creation and capture through exploration, strategy and innovation underpinned by Industry 4.0 technologies.

Join us on this exclusive site tour to experience first-hand how through a synergy of skills, projects co-created with industries, and empowerment of students and industry 4.0 demonstrators , we are enabling businesses to industry 4.0 technology demonstrators to de-risk innovation.

The factory houses a series of co-located studios, each with a specific function:

  • Advanced Inspection and Machining Studio: advanced machining capability combined with state-of-the-art inspection equipment for developing high quality components
  • 3-D Visualisation and Design Studio: featuring advanced visualisation tools that allow for intuitive real-time interaction with realistic 3-D imagery
  • Rapid Manufacturing Studio: equipped with advanced additive manufacturing tools that facilitate conversion from digital concepts to metal, plastic or ceramic prototypes

maintenance tech

Space In Each Site Visit Is Limited, Registrations Will Be Available On First Come, First Reserved Basis.